dimension, education and others (Naisbit, 1982; Lubański, 2004 ).
Within the information society, one can distinguish a generation of “digital natives”, i.e. people born in the digital era, for whom new media are the basic environment of existence (in other words, they are addicted to new media). Thanks to innovative gadgets, they have direct access to data and searched content ( Prensky, 2001 ), and they often use multiple multimedia devices at the same time, or one multifunctional device for several activities enabling access to media ( Mysior, 2014 ). This social

and reducing the need for inpatient admission.
To assess the relevance of clozapine associated nocturnal enuresis, the aim of this systematic review was to determine the prevalence of nocturnal enuresis secondary to clozapine use.
Methods
Literature search
To investigate the prevalence of nocturnal enuresis in patients taking clozapine, a systematic review was conducted using the electronic data source, PubMed. The literature search was performed in March 2018. The search terms used were ‘clozapine’, ‘nocturnal enuresis’ and ‘urinary incontinence’. Those

be presented according to standardized structures in order for the data to be shared and compared. However, inconsistent data standardization methods and different nursing terminologies are important barriers to the sharing of nursing information and data. When the sharing of information between systems is restricted, nursing big data become incompatible and incomparable. In addition, information technology education in the nursing field in China began relatively late, meaning that information technology in the nursing field in China is underdeveloped and that

degradation of the tested material.
Figure 10
Results of TS analysis – sample S3057.
Another suggestion of an alternative method of interpreting the results of TS tests is the back analysis of the τ ( γ ) relation in the first quarter of the hysteresis loop. This method finds particular application in the process of calibration of constitutive laws implemented in Finite Element Method based calculation applications. The authors have their own application that works with the MatLab system and enables automated search for explicit and discrete G ( γ

(1994) pointed out that research fronts are co-citation clusters plus citing articles; Morris et al. (2003) applied bibliographic coupling methods to identify the research fronts; Shibata et al. (2008) proposed that research fronts are direct citation clusters. Presently, Chen (2006) , Braam, Moed, and van Raan (1991) , and Persson’s (1994) views are the mainstream in research fronts detection. They concurred that research fronts are clusters of citing papers sharing a common intellectual base.
The research fronts detection method of this paper is in